Triple
T15142213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiko |
E361711
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Kiko |
unclear NED1
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kiko | Statement: [Kiko, fullName, Kiko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiko Context triple: [Kiko, fullName, Kiko]
-
A.
Kiko
Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
-
B.
Kiko
Kiko is a critically acclaimed 1992 studio album by the American rock band Los Lobos, noted for its experimental sound and rich, atmospheric production.
-
C.
Kiko
Kiko is the Crown Princess of Japan and the wife of Crown Prince Akishino, a prominent member of the Japanese imperial family.
-
D.
Kiko
"Kiko" is the second studio album by American rock band The Neighborhood, known for its moody, atmospheric sound blending alternative rock, R&B, and electronic influences.
-
E.
Kika
Kika is a song that follows "High Heels" in a music release sequence, likely within the pop or dance genre.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c5c4248190b57234e3ccf2831b |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfee0ae48190a36523d3eeae9740 |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3:07 a.m.